The Next Frontier in Cycling Safety
By combining Vision AI, radar, and real-time sensing, new safety systems can detect road hazards, identify approaching vehicles, and help riders react before danger becomes a collision.
12/10/20251 分钟阅读
Most serious cycling accidents come from two invisible killers:
potholes right under your wheel and large vehicles closing in from behind.
Most serious bike accidents come from what riders don't see in time, hidden road hazards and critical rear-approach situations.
We're building a new level of cyclist safety by tightly integrating Vision AI with radar.
1 - Road Hazard Mitigation (Vision AI)
By analyzing depth cues and IMU data, our system detects potholes, manholes, and other hidden obstacles right in the riding line. Riders receive clear, timely prompts like "Pothole ahead", helping them avoid slips, panic braking, and unnecessary crashes.
2 - Rear Approach & Large Vehicle Protection (Vision AI + Radar)
Our combined stack classifies large vehicles (trucks, buses, etc.) and uses radar to calculate TTC (Time-to-Collision).
When risk is high, riders get directional haptic alerts, and the taillight automatically switches to high-visibility warning patterns to alert drivers behind.
All processing runs fully on-device – no cloud streaming, no video uploads – delivering privacy by design while enabling multi-layer, real-time protection for cyclists.
It's not just about seeing the road.
It's about understanding it – and acting in time.
